Partial Optimal Transport with Applications on Positive-Unlabeled Learning

19 February 2020

Papers citing "Partial Optimal Transport with Applications on Positive-Unlabeled Learning"

23 / 23 papers shown

Title
The Z-Gromov-Wasserstein Distance Martin Bauer Facundo Mémoli Tom Needham Mao Nishino OT 48 2 0 15 Aug 2024
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 144 2,190 0 05 Jul 2019
Sliced Gromov-Wasserstein Titouan Vayer Rémi Flamary Romain Tavenard Laetitia Chapel Nicolas Courty OT 25 100 0 24 May 2019
Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching Hongteng Xu Dixin Luo Lawrence Carin 42 192 0 18 May 2019
Learning Generative Models across Incomparable Spaces Charlotte Bunne David Alvarez-Melis Andreas Krause Stefanie Jegelka GAN 41 112 0 14 May 2019
Gromov-Wasserstein Learning for Graph Matching and Node Embedding Hongteng Xu Dixin Luo H. Zha Lawrence Carin 57 256 0 17 Jan 2019
Learning from positive and unlabeled data: a survey Jessa Bekker Jesse Davis 58 555 0 12 Nov 2018
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties David Tellez G. Litjens J. A. van der Laak R. Tavenard F. Ciompi OT 69 125 0 07 Nov 2018
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks Karren D. Yang Caroline Uhler GAN OT 39 75 0 26 Oct 2018
Classification from Positive, Unlabeled and Biased Negative Data Yu-Guan Hsieh Gang Niu Masashi Sugiyama 30 79 0 01 Oct 2018
Gromov-Wasserstein Alignment of Word Embedding Spaces David Alvarez-Melis Tommi Jaakkola OT 46 326 0 31 Aug 2018
Learning from Positive and Unlabeled Data under the Selected At Random Assumption Jessa Bekker Jesse Davis OOD 21 15 0 27 Aug 2018
Computational Optimal Transport Gabriel Peyré Marco Cuturi OT 125 2,133 0 01 Mar 2018
Multilevel Clustering via Wasserstein Means Nhat Ho X. Nguyen Mikhail Yurochkin Hung Bui Viet Huynh Dinh Q. Phung 26 145 0 13 Jun 2017
Class-prior Estimation for Learning from Positive and Unlabeled Data M. C. D. Plessis Gang Niu Masashi Sugiyama 40 159 0 05 Nov 2016
Convergence Rate of Frank-Wolfe for Non-Convex Objectives Simon Lacoste-Julien 51 194 0 01 Jul 2016
Mixture Proportion Estimation via Kernel Embedding of Distributions H. G. Ramaswamy Clayton Scott Ambuj Tewari 29 198 0 08 Mar 2016
On the Global Linear Convergence of Frank-Wolfe Optimization Variants Simon Lacoste-Julien Martin Jaggi 52 410 0 18 Nov 2015
Optimal Transport for Domain Adaptation Nicolas Courty Rémi Flamary D. Tuia A. Rakotomamonjy OT OOD 58 1,112 0 02 Jul 2015
Fast Optimal Transport Averaging of Neuroimaging Data Alexandre Gramfort Gabriel Peyré Marco Cuturi OT 38 113 0 30 Mar 2015
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 136 4,946 0 06 Oct 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 121 4,210 0 04 Jun 2013
Subgraph Matching Kernels for Attributed Graphs Nils Kriege Petra Mutzel 36 276 0 27 Jun 2012